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Savers

savers.com · Retail

Ranked 1,088 of 2,047 companies in the study

32Overall score
  • Visibility5
  • Citations0
  • Sentiment75
  • Site quality80
  • AI readiness29
What this means for Savers

AI assistants rarely name Savers, appearing in 2 of 60 answers, such as alongside Goodwill and Value Village. Its overall score is 32 out of 100, ranking 1,088th of 2,047 companies. The website passes 2 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the retail market: none named Savers. AI assistants named it in 2 of 60 answers (3.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Savers ranks 392 of 640 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
3.3%
2 of 60 answers
Share of mentions
7.7%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
354 of 640
by overall score, where the typical retail company scores 34
How Savers compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
5

How often AI assistants name the company

Citations
0

How often AI uses the company's own website as a source

Sentiment
75

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
29

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with retail

640 companies in this sector. The line on each bar is the typical company.

Overall score32
Ranks 354 of 640. Typical company: 34
Named in answers3%
Ranks 392 of 640. Typical company: 7%
AI readiness29
Ranks 222 of 640. Typical company: 29
What Perplexity actually said

An answer that names the company

“Where can I shop for affordable used household goods in the US?”

You can shop for affordable used household goods at thrift stores, Habitat for Humanity ReStores, Salvation Army thrift stores, and chain resale stores like Savers/Value Village/Unique/2nd Ave. These shops commonly carry furniture, appliances, home décor, kitchenware, and other household items at prices below retail.

Good places to start in the US include:

Habitat for Humanity ReStore — sells new and gently used furniture, appliances, home goods, and building materials at a fraction of retail price.

Salvation Army thrift stores — of …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Goodwill10Value Village2Buffalo Exchange1
Share of mentions

How the mentions in these answers were split between this company and its rivals

Goodwill
71.4%
Value Village
14.3%
Savers
9.5%
Buffalo Exchange
4.8%
The Salvation Army Family Stores
0.0%
Unique Thrift Store
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
2/15
Claude
0/15
Gemini
0/15
OpenAI
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent buy here?

Not by itself. Savers publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.

  • UCPNot present
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present
Show every check, for your technical team
Discoverability
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapNot met

    Serve an XML sitemap and reference it from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 16 of 100 · 97% of checks could run · checked on October 5, 2026 · www.savers.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

2 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • Not metXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

newsbreak.com
30
reddit.com
22
salvationarmyusa.org
14
justdial.com
12
housedigest.com
10
goodonyou.eco
8
thegoodtrade.com
7
youtube.com
7
thredup.com
7
apartmenttherapy.com
6

In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Secondhand shops vs online marketplaces for buying used goods: which is better?
  • How do thrift stores differ from vintage stores when it comes to clothing selection?
  • Tips for building a sustainable wardrobe with secondhand and vintage pieces?
  • Is shopping at thrift stores really worth it for saving money on clothes?
  • Are secondhand home goods from thrift shops safe to buy and use?
  • Where can I shop for affordable used household goods in the US?
  • Where else can I buy affordable vintage or gently-used home décor besides local thrift shops?
  • How can sustainability-focused shoppers find eco-friendly clothing options outside traditional thrift shops?
  • Are thrift store prices cheaper for household goods compared to discount retailers?
  • What are good alternatives to shopping in-person at thrift stores for used clothing?
  • What is the typical price range for clothing at popular US thrift stores?
  • How can I furnish my apartment on a tight budget using thrift finds?
  • What should I do if I can't find my size at a local secondhand store?
  • How can I check if used household items at a thrift shop are in good condition before buying?
  • What are the best ways to find quality secondhand clothing stores near me?
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

Next step

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